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neuroni.co
EN | RU
AI Development
We develop and implement artificial intelligence systems,
neural networks and machine learning, taking into
account the requirements of your business
neural networks and machine learning, taking into
account the requirements of your business
AI Development
We develop and implement artificial intelligence systems, neural networks and machine learning, taking into account the requirements of your business
Our AI and Machine Learning Development Services
Artificial intelligence has penetrated all areas of business and is changing the way progressive companies work. Our team of data engineers, ML engineers, and data scientists creates custom AI software solutions to deliver a sustainable AI-driven ecosystem for startups, SMBs, and enterprises.
Contact the team neuroni.co to expand your own engineering teams and create AI applications.
Contact the team neuroni.co to expand your own engineering teams and create AI applications.
Our AI and Machine Learning Development Services
Artificial intelligence has penetrated all areas of business and is changing the way progressive companies work. Our team of data engineers, ML engineers, and data scientists creates custom AI software solutions to deliver a sustainable AI-driven ecosystem for startups, SMBs, and enterprises.
Contact the team neuroni.co to expand your own engineering teams and create AI applications.
Contact the team neuroni.co to expand your own engineering teams and create AI applications.
- ML system blueprints
- Rapid model training and experimentation
- Automated data and model governance
- ML/data pipelines
- Online/batch inference
- Text analysis
- Text classification
- Text summarization
- Text generation and completion
- Image and video classification
- Image and video segmentation
- Object detection and localization
- Generative modeling
- Ontologies
- AI agents
- Algorithmic planning and optimization
- Audio classification
- Text to speech
- ASR (automatic speech recognition)
- MLP (multi-layer perceptrons)
- CNN (convolutional neural networks)
- RNN (recurrent neural networks)
- GNN (graph neural networks)
- Transformers
- Content-based recommendations
- Feedback-based recommendations
- Content matching
- ML-powered search
- Reverse search (image, audio, video)
- Predictive analytics & maintenance
- Анализ временных рядов
- Кластеризация
- Автоматизированный анализ данных
- ML system blueprints
- Rapid model training and experimentation
- Automated data and model governance
- ML/data pipelines
- Online/batch inference
- Text analysis
- Text classification
- Text summarization
- Text generation and completion
- Image and video classification
- Image and video segmentation
- Object detection and localization
- Generative modeling
- Ontologies
- AI agents
- Algorithmic planning and optimization
- Audio classification
- Text to speech
- ASR (automatic speech recognition)
- MLP (multi-layer perceptrons)
- CNN (convolutional neural networks)
- RNN (recurrent neural networks)
- GNN (graph neural networks)
- Transformers
- Content-based recommendations
- Feedback-based recommendations
- Content matching
- ML-powered search
- Reverse search (image, audio, video)
- Predictive analytics & maintenance
- Time series analysis
- Clustering
- Automated data insights
Technology stack
Technology stack
On-premises, cloud, hybrid
PyTorch, MXNet, Nvidia Caffe, Caffe2, Chainer, Theano
Languages:
Visualization:
DBMS:
Frameworks and tools:
Cloud Platforms:
DL frameworks
Architectures:
Algorithms
Supervised learning (classification, regression), unsupervised learning (clustering, dimensionality reduction, anomaly detection, pattern search), ensembles, reinforcement learning, clustering (density-based, Hierarchical, partitioning), metric learning, Few-shot learning
Modules/toolkits
Microsoft Cognitive Toolkit, Core ML, Kurento’s computer vision module
Generative AI models
Generative Adversarial, Transformer models (GPT3, GPT 3.5 Turbo,LaMDA, Wu-Dao)
Image classification models
VGG-16, ResNet50, Inceptionv3, EfficientNet
Libraries
OpenNN, Neuroph, Sonnet, TensorFlow, Tensor2Tensor, tf-slim
Neural networks
CNN, RNN, Representation learning, Manifold learning, Variational autoencoders, Bayesian networks, Autoregressive networks
Languages:
Visualization:
DBMS:
Frameworks and tools:
Cloud Platforms:
Architectures:
On-premises, cloud, hybrid
DL frameworks:
PyTorch, MXNet, Nvidia Caffe, Caffe2, Chainer, Theano
Modules/toolkits:
Microsoft Cognitive Toolkit, Core ML, Kurento’s computer vision module
Generative AI models:
Generative Adversarial Networks, Transformer models (GPT3, GPT 3.5 Turbo,LaMDA, Wu-Dao)
Image classification models:
VGG-16, ResNet50, Inceptionv3, EfficientNet
Libraries:
OpenNN, Neuroph, Sonnet, TensorFlow, Tensor2Tensor, tf-slim
Neural networks:
CNN, RNN, Representation learning, Manifold learning, Variational autoencoders, Bayesian networks, Autoregressive networks
Algorithms:
Supervised learning (classification, regression), unsupervised learning (clustering, dimensionality reduction, anomaly detection, pattern search), ensembles, reinforcement learning, clustering (density-based, Hierarchical, partitioning), metric learning, Few-shot learning
Machine learning solutions
Computer vision
Voice and speech recognition
Recommendation systems and search
Machine learning solutions
Computer vision
Voice and speech recognition
Recommendation systems and search
Natural language processing
Expert systems
Neural networks
Predictive analytics & maintenance
Natural language processing
Expert systems
Neural networks
Predictive analytics & maintenance
Integration & technologies of artificial intelligence and machine learning
Integration & technologies of artificial intelligence and machine learning
We use third-party AI software APIs to create a personalized approach for existing AI-based apps
Chatbot APIIntegrate Chatbot APIs Azure Bot Services, Google Conversational AI, and Rasa into an existing website or app to automate customer service requests.
Facial Recognition APIIntegrate Deep Vision AI, FaceFirst, Trueface, or Amazon Rekognition for face detection/recognition to support security and user authentication.
Natural language processing APIsIntegrate Google Cloud Natural Language API to derive insights from unstructured text.
AWS ML SolutionsIntegrate Amazon Sage Maker to build, train, and deploy machine learning (ML) models with fully managed infrastructure, tools, and workflows.
Chatbot APIIntegrate Chatbot APIs Azure Bot Services, Google Conversational AI, and Rasa into an existing website or app to automate customer service requests.
Facial Recognition APIIntegrate Deep Vision AI, FaceFirst, Trueface, or Amazon Rekognition for face detection/recognition to support security and user authentication.
Natural language processing APIsIntegrate Google Cloud Natural Language API to derive insights from unstructured text.
AWS ML SolutionsIntegrate Amazon Sage Maker to build, train, and deploy machine learning (ML) models with fully managed infrastructure, tools, and workflows.
Tilda Publishing
How to build a generative AI model for image synthesis?
With tools like Midjourney and DALL-E, image synthesis has become simpler and more efficient than before. Dive in deep to know more about the image synthesis process with generative AI
How to build machine learning apps?
Machine learning is a sub-field of AI that develops statistical models and algorithms, enabling computers to learn and perform tasks as efficiently as humans
A well-implemented generative AI tech stack can help businesses streamline their workflows, reduce costs, and improve overall efficiency
Fine-tuning involves training pre-trained models with a specific data set to adapt them to particular domains or tasks, like cancer detection in healthcare
How to build a generative AI solution: from prototyping to production
With generative AI, companies can unlock unprecedented levels of innovation, efficiency, speed, and accuracy, creating an unbeatable advantage in today’s hyper-competitive marketplace
By carefully defining the business problem to be solved with AI, building a data pipeline and training the models, organizations can build a successful enterprise AI solutions that could drive significant business growth
We have compiled for you a large catalog of 1000+ neural networks sorted by categories and topics: development, design, marketing and much more. View all ›
We have compiled for you a large catalog of 1000+ neural networks sorted by categories and topics: development, design, marketing and much more. View all ›
Tilda Publishing
neuroni.co is part of a large structure that includes companies and teams from different industries, united by a common goal of developing advanced technologies
Artificial intelligence is not just a buzzword. It is a powerful tool that helps businesses solve problems and optimize internal processes.
Incorporating AI into business processes greatly simplifies operations and saves time on performing routine, repetitive tasks. AI-driven systems increase productivity and help a company stand out from the competition.
Our artificial intelligence app development company provides advanced AI and ML services for enterprises and helps them:
Your business is sure to benefit from our AI development services. Results may vary by industry. Healthcare companies, for example, will benefit from automated medical diagnostics, while financial services companies will benefit from superior fraud detection and security.
Incorporating AI into business processes greatly simplifies operations and saves time on performing routine, repetitive tasks. AI-driven systems increase productivity and help a company stand out from the competition.
Our artificial intelligence app development company provides advanced AI and ML services for enterprises and helps them:
- Improve efficiency at a lower cost
- Support business decisions
- Analyze the market and trends
- Customize and personalize market offers
- Identify and mitigate risks and prevent fraud
Your business is sure to benefit from our AI development services. Results may vary by industry. Healthcare companies, for example, will benefit from automated medical diagnostics, while financial services companies will benefit from superior fraud detection and security.
What do you get from AI and ML development?
What do you get from AI and ML development?
Artificial intelligence is not just a buzzword. It is a powerful tool that helps businesses solve problems and optimize internal processes.
Incorporating AI into business processes greatly simplifies operations and saves time on performing routine, repetitive tasks. AI-driven systems increase productivity and help a company stand out from the competition.
Our artificial intelligence app development company provides advanced AI and ML services for enterprises and helps them:
Your business is sure to benefit from our AI development services. Results may vary by industry. Healthcare companies, for example, will benefit from automated medical diagnostics, while financial services companies will benefit from superior fraud detection and security.
Incorporating AI into business processes greatly simplifies operations and saves time on performing routine, repetitive tasks. AI-driven systems increase productivity and help a company stand out from the competition.
Our artificial intelligence app development company provides advanced AI and ML services for enterprises and helps them:
- Improve efficiency at a lower cost
- Support business decisions
- Analyze the market and trends
- Customize and personalize market offers
- Identify and mitigate risks and prevent fraud
Your business is sure to benefit from our AI development services. Results may vary by industry. Healthcare companies, for example, will benefit from automated medical diagnostics, while financial services companies will benefit from superior fraud detection and security.
Our engagement models
Our engagement models
Our developers
Our AI developers use advanced technologies to provide customers with high-quality services and solutions.
Joint project
We are always ready to cooperate with clients and participate in specific projects.
Team expansion
Our team expansion model is designed to help clients who want to expand their team with the specialists needed for their project.
Our developers
Our AI developers use advanced technologies to provide customers with high-quality services and solutions.
Joint project
We are always ready to cooperate with clients and participate in specific projects.
Team expansion
Our team expansion model is designed to help clients who want to expand their team with the specialists needed for their project.
Frequently asked questions
Frequently asked questions
With the support of our team, you will have no problem developing and launching a custom AI solution for your business. We will communicate closely with you at every stage of the software development life cycle and will be happy to answer all your questions.
The cost of artificial intelligence in software development is determined by many factors:
To get a concrete assessment of your future AI solution, contact us and we will quickly provide you with all the information you need.
- Scale of the project
- Set of technologies involved
- Number of development hours
- Your business goals
- And more
To get a concrete assessment of your future AI solution, contact us and we will quickly provide you with all the information you need.
Depending on the scale of the project, implementation takes from several weeks to several months. At neuroni.co we use an Agile development approach, thanks to which we deliver projects on time and with no loss of quality.
Yes. As part of our advanced AI software development plan, we take full responsibility for post-development service and support. In other cases, we offer support on a case-by-case basis.
Yes. We provide developers and business users with a convenient tool to create and implement deep learning models. This way, our customers don’t have to worry about environment configurations, cluster and resource management, or tools and packages.
neuroni.co provides machine learning as a service. MLaS is built on cloud platforms whose machine learning tools provide solutions that can help you:
- access ready-made predictive analysis solutions for various use cases
- perform data preprocessing
- train and tune models
- manage orchestration
- deploy ML models
With the support of our team, you will have no problem developing and launching a custom AI solution for your business. We will communicate closely with you at every stage of the software development life cycle and will be happy to answer all your questions.
The cost of artificial intelligence in software development is determined by many factors:
To get a concrete assessment of your future AI solution, contact us and we will quickly provide you with all the information you need.
- Scale of the project
- Set of technologies involved
- Number of development hours
- Your business goals
- And more
To get a concrete assessment of your future AI solution, contact us and we will quickly provide you with all the information you need.
Depending on the scale of the project, implementation takes from several weeks to several months. At neuroni.co we use an Agile development approach, thanks to which we deliver projects on time and with no loss of quality.
Yes. As part of our advanced AI software development plan, we take full responsibility for post-development service and support. In other cases, we offer support on a case-by-case basis.
Yes. We provide developers and business users with a convenient tool to create and implement deep learning models. This way, our customers don’t have to worry about environment configurations, cluster and resource management, or tools and packages.
neuroni.co provides machine learning as a service. MLaS is built on cloud platforms whose machine learning tools provide solutions that can help you:
- access ready-made predictive analysis solutions for various use cases
- perform data preprocessing
- train and tune models
- manage orchestration
- deploy ML models
Contact us
Contact us
If necessary, we will sign an NDA to keep your ideas confidential and discuss the main requirements of the project. After that, our analysts and developers will carefully study them, and together we will come up with the next move.
part of the team neuroni.co, find out more about us
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